AdaptiveAvgPool1d

class torch.nn.AdaptiveAvgPool1d(output_size)

Applies a 1D adaptive average pooling over an input signal composed of several input planes.

The output size is \(L_{out}\), for any input size. The number of output features is equal to the number of input planes.

Parameters:

output_size (Union[int, Tuple[int]]) – the target output size \(L_{out}\).

Shape:

• Input: \((N, C, L_{in})\) or \((C, L_{in})\).

• Output: \((N, C, L_{out})\) or \((C, L_{out})\), where \(L_{out}=\text{output\_size}\).

Examples

>>> # target output size of 5
>>> m = nn.AdaptiveAvgPool1d(5)
>>> input = torch.randn(1, 64, 8)
>>> output = m(input)